Zhi-Hua Zhou

Tsuhan Chen, Zhi-Hua Zhou, HongJiang Zhang, 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).

Top 10 algorithms in data mining

Philip S. Yu, Xindong Wu, Qiang Yang, 2007, Knowledge and Information Systems.

Multi-Instance Multi-Label Learning with Application to Scene Classification

Zhi-Hua Zhou, Min-Ling Zhang, Min-Ling Zhang, 2006, NIPS.

Online game props recommendation with real assessments

Zhi-Hua Zhou, De-Chuan Zhan, Jun Tang, 2016, Complex & Intelligent Systems.

Budget Semi-supervised Learning

Michael K. Ng, Zhi-Hua Zhou, Yuan Jiang, 2009, PAKDD.

Napping for functional representation of policy

Yang Yu, Zhi-Hua Zhou, Qing Da, 2014, AAMAS.

Disagreement-based Semi-supervised Learning

Zhi-Hua Zhou, Zhi-Hua Zhou, 2013 .

Evolutionary Algorithms as Guaranteed Approximation Optimizers pdf

Xin Yao, Zhi-Hua Zhou, Yang Yu, 2010, ArXiv.

Evolving Fault-Tolerant Neural Networks

Zhi-Hua Zhou, Shifu Chen, Zhi-Hua Zhou, 2003, Neural Computing & Applications.

Bifurcation Spiking Neural Network pdf

Zhi-Hua Zhou, Shao-Qun Zhang, 2019, ArXiv.

A bag-of-words approach for Drosophila gene expression pattern annotation

Jieping Ye, Zhi-Hua Zhou, Ying-Xin Li, 2009, BMC Bioinformatics.

Multi-Label Active Learning from Crowds pdf

Shao-Yuan Li, Zhi-Hua Zhou, Yuan Jiang, 2015, ArXiv.

Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud

Ji Feng, Jun Zhou, Zhi-Hua Zhou, 2018, ACM Trans. Intell. Syst. Technol..

Unified Locally Linear Embedding and Linear Discriminant Analysis Algorithm (ULLELDA) for Face Recognition

Zhi-Hua Zhou, Junping Zhang, Huanxing Shen, 2004, SINOBIOMETRICS.

Query-Sensitive Similarity Measure for Content-Based Image Retrieval

Zhi-Hua Zhou, Hong-Bin Dai, 2006, Sixth International Conference on Data Mining (ICDM'06).

A literature survey on robust and efficient eye localization in real-life scenarios

Zhi-Hua Zhou, Xiaoyang Tan, Songcan Chen, 2013, Pattern Recognit..

Neural Networks for Multi-Instance Learning

Zhi-Hua Zhou, Min-Ling Zhang, Min-Ling Zhang, 2002 .

Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure

Zhi-Hua Zhou, Kai Ming Ting, Mark James Carman, 2016, KDD.

Selective Ensemble of Classifier Chains

Zhi-Hua Zhou, Nan Li, Zhi-Hua Zhou, 2013, MCS.

One-Pass Learning with Incremental and Decremental Features

Chenping Hou, Zhi-Hua Zhou, Zhi-Hua Zhou, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming

Xiu-Shen Wei, Jianxin Wu, Zhi-Hua Zhou, 2017, ArXiv.

Large Margin Distribution Learning with Cost Interval and Unlabeled Data

Zhi-Hua Zhou, Yu-Hang Zhou, Zhi-Hua Zhou, 2016, IEEE Transactions on Knowledge and Data Engineering.

Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin

Zhi-Hua Zhou, Song Liu, Xi-Zhu Wu, 2019, ICML.

Top Rank Optimization in Linear Time

Rong Jin, Zhi-Hua Zhou, Nan Li, 2014, NIPS.

Multi-label hypothesis reuse

Yang Yu, Zhi-Hua Zhou, Sheng-Jun Huang, 2012, KDD.

Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions

Zhi-Hua Zhou, Kate Smith-Miles, Xin Geng, 2008, IEEE Transactions on Neural Networks.

Forest Representation Learning Guided by Margin Distribution pdf

Liang Yang, Zhi-Hua Zhou, Shen-Huan Lv, 2019, ArXiv.

B-Planner: Planning Bidirectional Night Bus Routes Using Large-Scale Taxi GPS Traces

Zhi-Hua Zhou, Daqing Zhang, Nan Li, 2014, IEEE Transactions on Intelligent Transportation Systems.

Exploiting Multi-Modal Interactions: A Unified Framework

Zhi-Hua Zhou, Ming Li, Xiao-Bing Xue, 2009, IJCAI.

Maximizing Non-monotone/Non-submodular Functions by Multi-objective Evolutionary Algorithms pdf

Xin Yao, Yang Yu, Zhi-Hua Zhou, 2017, ArXiv.

Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble

Zhi-Hua Zhou, Fuyan Zhang, Xiaoyang Tan, 2005, IEEE Transactions on Neural Networks.

A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin

Zhi-Hua Zhou, Liwei Wang, Masashi Sugiyama, 2011, J. Mach. Learn. Res..

Selective Ensemble under Regularization Framework

Zhi-Hua Zhou, Nan Li, Zhi-Hua Zhou, 2009, MCS.

Multi-Instance Learning with Key Instance Shift

Zhi-Hua Zhou, Ya-Lin Zhang, Zhi-Hua Zhou, 2017, IJCAI.

Guest Editors' introduction to the special issue: machine learning approaches to multimedia information retrieval

Zhi-Hua Zhou, Arif Ghafoor, Zhongfei Zhang, 2006, Multimedia Systems.

Deep forest

Ji Feng, Zhi-Hua Zhou, Zhi-Hua Zhou, 2017, IJCAI.

New Semi-Supervised Classification Method Based on Modified Cluster Assumption

Zhi-Hua Zhou, Songcan Chen, Yunyun Wang, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning

Zhi-Hua Zhou, Takashi Washio, Zhi-Hua Zhou, 2009 .

Non-linear integrated design and analysis of skeletal structures by 1 element per member

Zhi-Hua Zhou, Siu-Lai Chan, 2000 .

When semi-supervised learning meets ensemble learning

Zhi-Hua Zhou, 2011 .

BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network

Shao-Yuan Li, Zhi-Hua Zhou, Jie Tang, 2017, CIKM.

Crowdsourcing label quality: a theoretical analysis

Zhi-Hua Zhou, Wei Wang, Zhi-Hua Zhou, 2015, Science China Information Sciences.

Editing Training Data for kNN Classifiers with Neural Network Ensemble

Zhi-Hua Zhou, Yuan Jiang, Zhi-Hua Zhou, 2004, ISNN.

Multi-Label Learning by Exploiting Label Correlations Locally

Zhi-Hua Zhou, Sheng-Jun Huang, Zhi-Hua Zhou, 2012, AAAI.

Distribution-Free One-Pass Learning pdf

Zhi-Hua Zhou, Peng Zhao, Zhi-Hua Zhou, 2017, IEEE Transactions on Knowledge and Data Engineering.

Expert-Level Atari Imitation Learning from Demonstrations Only pdf

Zhi-Hua Zhou, Yuan Jiang, Xin-Qiang Cai, 2019, ArXiv.

Pairwised Specific Distance Learning from Physical Linkages

Zhi-Hua Zhou, Yuan Jiang, Xintao Wu, 2015, ACM Trans. Knowl. Discov. Data.

Effects of the optimisation of the margin distribution on generalisation in deep architectures pdf

Brendan McCane, Zhi-Hua Zhou, Wei Gao, 2017, ArXiv.

New Class Adaptation Via Instance Generation in One-Pass Class Incremental Learning

Zhi-Hua Zhou, Kai Ming Ting, Yue Zhu, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Robust Design Space Modeling

Tianshi Chen, Zhi-Hua Zhou, Depei Qian, 2015, TODE.

ON MULTI‐CLASS COST‐SENSITIVE LEARNING

Zhi-Hua Zhou, Xu-Ying Liu, Zhi-Hua Zhou, 2006, Comput. Intell..

Scalable Stochastic Alternating Direction Method of Multipliers pdf

Zhi-Hua Zhou, Wu-Jun Li, Shen-Yi Zhao, 2015, ArXiv.

Training SpamAssassin with Active Semi-supervised Learning

Zhi-Hua Zhou, Fabio Roli, Jun-Ming Xu, 2009, CEAS 2009.

On the approximation ability of evolutionary optimization with application to minimum set cover

Xin Yao, Yang Yu, Zhi-Hua Zhou, 2010, Artif. Intell..

Boundary Problems of EAs

Zhi-Hua Zhou, Yang Yu, Chao Qian, 2019 .

Improve Computer-Aided Diagnosis With Machine Learning Techniques Using Undiagnosed Samples

Zhi-Hua Zhou, Ming Li, Zhi-Hua Zhou, 2007, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

Active Learning by Querying Informative and Representative Examples

Rong Jin, Zhi-Hua Zhou, Sheng-Jun Huang, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-Modal Image Annotation with Multi-Instance Multi-Label LDA

Zhi-Hua Zhou, Cam-Tu Nguyen, De-Chuan Zhan, 2013, IJCAI.

Exploiting Unlabeled Data to Enhance Ensemble Diversity

Zhi-Hua Zhou, Min-Ling Zhang, 2010, ICDM.

Non-negative Matrix Factorization on Kernels

Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen, 2006, PRICAI.

Tighter and Convex Maximum Margin Clustering

Ivor W. Tsang, Zhi-Hua Zhou, James T. Kwok, 2009, AISTATS.

B-Planner: Night bus route planning using large-scale taxi GPS traces

Zhi-Hua Zhou, Daqing Zhang, Shijian Li, 2013, 2013 IEEE International Conference on Pervasive Computing and Communications (PerCom).

Supervised nonlinear dimensionality reduction for visualization and classification

Zhi-Hua Zhou, Xin Geng, De-Chuan Zhan, 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face

Zhi-Hua Zhou, Fuyan Zhang, Xiaoyang Tan, 2004, ISNN.

Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part II

Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, 2019, Lecture Notes in Computer Science.

Social Learning INTRODUCTION

Wenji Mao, Zhi-Hua Zhou, Qiang Yang, 2010 .

On the Size of Training Set and the Benefit from Ensemble

Zhi-Hua Zhou, Gang Li, Honghua Dai, 2004, PAKDD.

Active Query Driven by Uncertainty and Diversity for Incremental Multi-label Learning

Zhi-Hua Zhou, Sheng-Jun Huang, Zhi-Hua Zhou, 2013, 2013 IEEE 13th International Conference on Data Mining.

Social Stream Classification with Emerging New Labels

Zhi-Hua Zhou, Yue Liu, Ee-Peng Lim, 2018, PAKDD.

Image Region Selection and Ensemble for Face Recognition

Zhi-Hua Zhou, Xin Geng, 2006, Journal of Computer Science and Technology.

Subset Selection under Noise

Yang Yu, Zhi-Hua Zhou, Chao Qian, 2017, NIPS.

On the relation between multi-instance learning and semi-supervised learning

Zhi-Hua Zhou, Jun-Ming Xu, Zhi-Hua Zhou, 2007, ICML '07.

Speedup Matrix Completion with Side Information: Application to Multi-Label Learning

Miao Xu, Rong Jin, Zhi-Hua Zhou, 2013, NIPS.

Meta-Interpretive Learning from noisy images

Zhi-Hua Zhou, Stephen Muggleton, Alireza Tamaddoni-Nezhad, 2018, Machine Learning.

Semi-Supervised Optimal Margin Distribution Machines

Zhi-Hua Zhou, Teng Zhang, Zhi-Hua Zhou, 2018, IJCAI.

Mining typhoon knowledge with neural networks

Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen, 1999, Proceedings 11th International Conference on Tools with Artificial Intelligence.

Running Time Analysis: Switch Analysis

Zhi-Hua Zhou, Yang Yu, Chao Qian, 2019 .

Editorial to the Special Issue of Selected Papers of SDM 2013

Zhi-Hua Zhou, Jennifer G. Dy, Zhi-Hua Zhou, 2014, Stat. Anal. Data Min..

Localized K-Flats

Yong Wang, Yi Wu, Zhi-Hua Zhou, 2011, AAAI.

A Framework for Machine Learning with Ambiguous Objects

Zhi-Hua Zhou, 2009, AMT.

Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering

Zhi-Hua Zhou, Changshui Zhang, Ying Li, 2011 .

Enhanced Pictorial Structures for precise eye localization under incontrolled conditions

Zhi-Hua Zhou, Xiaoyang Tan, Songcan Chen, 2009, CVPR.

Distributional Features for Text Categorization

Zhi-Hua Zhou, Xiao-Bing Xue, Zhi-Hua Zhou, 2006, IEEE Transactions on Knowledge and Data Engineering.

Partially Supervised Learning

Friedhelm Schwenker, Zhi-Hua Zhou, Zhi-Hua Zhou, 2013, Lecture Notes in Computer Science.

A framework for modeling positive class expansion with single snapshot

Yang Yu, Zhi-Hua Zhou, Yang Yu, 2010, Knowledge and Information Systems.

Deep Learning for Fixed Model Reuse

Zhi-Hua Zhou, Yuan Jiang, Yang Yang, 2017, AAAI.

Machine Learning

Zhi-Hua Zhou, James T. Kwok, Lei Xu, 2015, Handbook of Computational Intelligence.

SOM Ensemble-Based Image Segmentation

Zhi-Hua Zhou, Yuan Jiang, Zhi-Hua Zhou, 2004, Neural Processing Letters.

Ensemble Learning

Zhi-Hua Zhou, Zhi-Hua Zhou, 2009, Encyclopedia of Biometrics.

Software Defect Detection with Rocus

Zhi-Hua Zhou, Yuan Jiang, Ming Li, 2011, Journal of Computer Science and Technology.

Learning with Unlabeled Data and Its Application to Image Retrieval

Zhi-Hua Zhou, Zhi-Hua Zhou, 2006, PRICAI.

A general design technique for fault diagnostic systems

Zhi-Hua Zhou, Jia-Zhou He, Shi-Fu Chen, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Multi-manifold Clustering

Yong Wang, Yi Wu, Zhi-Hua Zhou, 2010, PRICAI.

Building Decision Trees for the Multi-class Imbalance Problem

Nitesh V. Chawla, Zhi-Hua Zhou, Qi Qian, 2012, PAKDD.

Scalable Multi-instance Learning

Xiu-Shen Wei, Jianxin Wu, Zhi-Hua Zhou, 2014, 2014 IEEE International Conference on Data Mining.

Tunneling Neural Perception and Logic Reasoning through Abductive Learning pdf

Yang Yu, Zhi-Hua Zhou, Wang-Zhou Dai, 2018, ArXiv.

Making FLDA applicable to face recognition with one sample per person

Zhi-Hua Zhou, Jun Liu, Songcan Chen, 2004, Pattern Recognit..

Multi-Class Optimal Margin Distribution Machine

Zhi-Hua Zhou, Teng Zhang, Zhi-Hua Zhou, 2017, ICML.

Structural diversity for decision tree ensemble learning

Zhi-Hua Zhou, Tao Sun, Zhi-Hua Zhou, 2018, Frontiers of Computer Science.

Multi-instance learning by treating instances as non-I.I.D. samples pdf

Zhi-Hua Zhou, Yu-Feng Li, Yu-Yin Sun, 2008, ICML '09.

Minimal gated unit for recurrent neural networks

Jianxin Wu, Zhi-Hua Zhou, Chen-Lin Zhang, 2016, International Journal of Automation and Computing.

Multi-Label Active Learning: Query Type Matters

Zhi-Hua Zhou, Songcan Chen, Sheng-Jun Huang, 2015, IJCAI.

Subset Selection by Pareto Optimization

Yang Yu, Zhi-Hua Zhou, Chao Qian, 2015, NIPS.

Ensembles of Multi-instance Learners

Zhi-Hua Zhou, Min-Ling Zhang, 2003, ECML.

Image Retargeting Using Mesh Parametrization

Jian Shi, Zhi-Hua Zhou, Michael Gleicher, 2009, IEEE Transactions on Multimedia.

Intelligence Science and Big Data Engineering

Zhi-Hua Zhou, Changyin Sun, Wankou Yang, 2017, Lecture Notes in Computer Science.

An analysis on recombination in multi-objective evolutionary optimization

Yang Yu, Zhi-Hua Zhou, Chao Qian, 2013, Artif. Intell..

Quantitative Analysis of Nonlinear Embedding

Zhi-Hua Zhou, Qi Wang, Li He, 2011, IEEE Transactions on Neural Networks.

Tri-net for Semi-Supervised Deep Learning

Zhi-Hua Zhou, Wei Gao, Dongdong Chen, 2018, IJCAI.

SETRED: Self-training with Editing

Zhi-Hua Zhou, Ming Li, Zhi-Hua Zhou, 2005, PAKDD.

Improve Web Search Using Image Snippets

Zhi-Hua Zhou, Zhongfei Zhang, Xiao-Bing Xue, 2006, AAAI.

Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval

Xiu-Shen Wei, Jianxin Wu, Zhi-Hua Zhou, 2016, IEEE Transactions on Image Processing.

Exploiting Image Contents in Web Search

Zhi-Hua Zhou, Hong-Bin Dai, Zhi-Hua Zhou, 2007, IJCAI.

The kth, Median and Average Margin Bounds for AdaBoost pdf

Zhi-Hua Zhou, Wei Gao, Zhi-Hua Zhou, 2010, ArXiv.

One-Pass Multi-View Learning

Zhi-Hua Zhou, Wei Gao, Yue Zhu, 2015, ACML.

Semi-Supervised Learning with Very Few Labeled Training Examples

Qiang Yang, Zhi-Hua Zhou, De-Chuan Zhan, 2007, AAAI.

Towards Safe Weakly Supervised Learning

Zhi-Hua Zhou, Lan-Zhe Guo, Yu-Feng Li, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A k-nearest neighbor based algorithm for multi-label classification

Zhi-Hua Zhou, Min-Ling Zhang, Min-Ling Zhang, 2005, 2005 IEEE International Conference on Granular Computing.

Efficient Optimization of Performance Measures

Ivor W. Tsang, Zhi-Hua Zhou, Nan Li, 2013 .

Analyzing Co-training Style Algorithms

Zhi-Hua Zhou, Wei Wang, Zhi-Hua Zhou, 2007, ECML.

Multi-Label Learning by Instance Differentiation

Zhi-Hua Zhou, Min-Ling Zhang, Min-Ling Zhang, 2007, AAAI.

Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness pdf

Jinfeng Yi, Bowen Zhou, Zhi-Hua Zhou, 2019, ArXiv.

Cocktail Ensemble for Regression

Yang Yu, Zhi-Hua Zhou, Kai Ming Ting, 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

Multi-Label Learning with Global and Local Label Correlation

Zhi-Hua Zhou, James T. Kwok, Yue Zhu, 2017, IEEE Transactions on Knowledge and Data Engineering.

Weak Evolvability Equals Strong Evolvability pdf

Zhi-Hua Zhou, Yang Yu, Yang Yu, 2009, ArXiv.

Diagonal principal component analysis for face recognition

Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen, 2006, Pattern Recognit..

Introduction to the Special Section on Distance Metric Learning in Intelligent Systems

Rong Jin, Zhi-Hua Zhou, Steven C. H. Hoi, 2012, TIST.

The Application of Visualization and Neural Network Techniques in a Power Transformer Condition Monitoring System

Zhi-Hua Zhou, Yuan Jiang, Shifu Chen, 2002, IEA/AIE.

Learning Safe Prediction for Semi-Supervised Regression

Zhi-Hua Zhou, Yu-Feng Li, Han-Wen Zha, 2017, AAAI.

Exploiting Unlabeled Data in Content-Based Image Retrieval

Zhi-Hua Zhou, Ke-Jia Chen, Yuan Jiang, 2004, ECML.

Launch of the Excellent Young Computer Scientists Forum

Zhi-Hua Zhou, 2019, Frontiers of Computer Science.

Towards Identifying Causal Relation Between Instances and Labels

Zhi-Hua Zhou, Sheng-Jun Huang, Tian-Zuo Wang, 2019, SDM.

Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels

Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen, 2006, Sixth International Conference on Data Mining (ICDM'06).

Spectrum of Variable-Random Trees

Yang Yu, Zhi-Hua Zhou, Kai Ming Ting, 2008, J. Artif. Intell. Res..

𝓁1-regression with Heavy-tailed Distributions pdf

Zhi-Hua Zhou, Lijun Zhang, Zhi-Hua Zhou, 2018, ArXiv.

Mining Ambiguous Data with Multi-instance Multi-label Representation

Zhi-Hua Zhou, 2007, ADMA.

Stochastic Proximal Gradient Descent for Nuclear Norm Regularization pdf

Rong Jin, Zhi-Hua Zhou, Tianbao Yang, 2015, ArXiv.

PRICAI 2008: Trends in Artificial Intelligence 10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, December 15-19, 2008, ... / Lecture Notes in Artificial Intelligence)

Zhi-Hua Zhou, Tu-Bao Ho, 2008 .

Learning a distance metric from multi-instance multi-label data

Zhi-Hua Zhou, Shijun Wang, Rong Jin, 2009, CVPR.

Multilabel dimensionality reduction via dependence maximization

Zhi-Hua Zhou, Yin Zhang, Zhi-Hua Zhou, 2008, TKDD.

On the consistency of AUC Optimization pdf

Zhi-Hua Zhou, Wei Gao, 2012, ArXiv.

Combining Regression Estimators: GA-Based Selective Neural Network Ensemble

Wei Tang, Jianxin Wu, Zhi-Hua Zhou, 2001, Int. J. Comput. Intell. Appl..

Unorganized Malicious Attacks Detection

Zhi-Hua Zhou, Wei Gao, Min Tao, 2016, NeurIPS.

Uniform Convergence, Stability and Learnability for Ranking Problems

Zhi-Hua Zhou, Wei Gao, Zhi-Hua Zhou, 2013, IJCAI.

Projection functions for eye detection

Zhi-Hua Zhou, Xin Geng, Zhi-Hua Zhou, 2004, Pattern Recognit..

TEFE: A Time-Efficient Approach to Feature Extraction

Yang Yu, Zhi-Hua Zhou, Yuan Jiang, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Approximation Stability and Boosting

Zhi-Hua Zhou, Wei Gao, Zhi-Hua Zhou, 2010, ALT.

Learning Imbalanced Multi-class Data with Optimal Dichotomy Weights

Zhi-Hua Zhou, Xu-Ying Liu, Qian-Qian Li, 2013, 2013 IEEE 13th International Conference on Data Mining.

Hybrid decision tree

Zhi-Hua Zhou, Zhaoqian Chen, Zhi-Hua Zhou, 2002, Knowl. Based Syst..

A Taxi Driving Fraud Detection System

Hui Xiong, Zhi-Hua Zhou, Yong Ge, 2011, 2011 IEEE 11th International Conference on Data Mining.

Learning the kernel parameters in kernel minimum distance classifier

Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen, 2006, Pattern Recognit..

Extracting symbolic rules from trained neural network ensembles

Zhi-Hua Zhou, Yuan Jiang, Shifu Chen, 2003, AI Commun..

Model reuse with domain knowledge

Zhi-Hua Zhou, Xizhu Wu, Zhi-Hua Zhou, 2017 .

Top-Eye: top-k evolving trajectory outlier detection

Hui Xiong, Zhi-Hua Zhou, Yong Ge, 2010, CIKM.

Single Image Subspace for Face Recognition

Zhi-Hua Zhou, Xiaoyang Tan, Jun Liu, 2007, AMFG.

Editorial of the Special Issue on Multi-instance Learning in Pattern Recognition and Vision

Jianxin Wu, Zhi-Hua Zhou, Fabio Roli, 2017, Pattern Recognit..

Feature Selection for High Dimensional Face Image Using Self-organizing Maps

Zhi-Hua Zhou, Fuyan Zhang, Xiaoyang Tan, 2005, PAKDD.

Key Instance Detection in Multi-Instance Learning

Guoqing Liu, Jianxin Wu, Zhi-Hua Zhou, 2012, ACML.

Revised Selected Papers of the PAKDD 2015 Workshops on Trends and Applications in Knowledge Discovery and Data Mining - Volume 9441

Zhi-Hua Zhou, Ee-Peng Lim, Xiao-Li Li, 2015 .

Corrigendum to "Ensembling neural networks: Many could be better than all" [Artificial Intelligence 137 (1-2) (2002) 239-263]

Wei Tang, Jianxin Wu, Zhi-Hua Zhou, 2010, Artif. Intell..

Logical Vision: One-Shot Meta-Interpretive Learning from Real Images

Zhi-Hua Zhou, Stephen Muggleton, Alireza Tamaddoni-Nezhad, 2017, ILP.

MIML: A Framework for Learning with Ambiguous Objects pdf

Zhi-Hua Zhou, Min-Ling Zhang, Sheng-Jun Huang, 2008, ArXiv.

Multi-instance clustering with applications to multi-instance prediction

Zhi-Hua Zhou, Min-Ling Zhang, Min-Ling Zhang, 2009, Applied Intelligence.

Spiculated Lesion Detection in Digital Mammogram Based on Artificial Neural Network Ensemble

Zhi-Hua Zhou, Ning Li, Huajie Zhou, 2005, ISNN.

Multi-information Ensemble Diversity

Zhi-Hua Zhou, Nan Li, 2010, MCS.

Structured Sparsity with Group-Graph Regularization

Zhi-Hua Zhou, Shujian Huang, Jiajun Chen, 2015, AAAI.

Combo-Dimensional Kernels for Graph Classification

Zhi-Hua Zhou, Yu-Feng Li, Tian-You Guo, 2009 .

Unsupervised metric fusion by cross diffusion

Bo Wang, Jiayan Jiang, Zhuowen Tu, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Resource allocation for heterogeneous multiuser OFDM-based cognitive radio networks with imperfect spectrum sensing

Zhi-Hua Zhou, Mengyao Ge, Chonggang Wang, 2012, 2012 Proceedings IEEE INFOCOM.

Classifier Ensemble with Unlabeled Data pdf

Zhi-Hua Zhou, Min-Ling Zhang, Min-Ling Zhang, 2009, ArXiv.

Examining spectral space of complex networks with positive and negative links

Zhi-Hua Zhou, Leting Wu, Xiaowei Ying, 2012, Int. J. Soc. Netw. Min..

Transductive Multilabel Learning via Label Set Propagation

Michael K. Ng, Zhi-Hua Zhou, Xiangnan Kong, 2013, IEEE Transactions on Knowledge and Data Engineering.

Intelligence Science and Big Data Engineering. Image and Video Data Engineering

Zhi-Hua Zhou, Xinbo Gao, Xiaofei He, 2015, Lecture Notes in Computer Science.

Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part II

Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, 2019, Lecture Notes in Computer Science.

Rule extraction: Using neural networks or for neural networks?

Zhi-Hua Zhou, Zhi-Hua Zhou, 2004, Journal of Computer Science and Technology.

Kernel method for matrix completion with side information and its application in multi-label learning

Miao Xu, Zhi-Hua Zhou, 2017 .

Ensembling local learners ThroughMultimodal perturbation

Yang Yu, Zhi-Hua Zhou, Yang Yu, 2005, IEEE Trans. Syst. Man Cybern. Part B.

Running Time Analysis: Comparison and Unification

Zhi-Hua Zhou, Yang Yu, Chao Qian, 2019 .

Dropout Rademacher complexity of deep neural networks

Zhi-Hua Zhou, Wei Gao, Zhi-Hua Zhou, 2014, Science China Information Sciences.

Optimal Margin Distribution Clustering

Zhi-Hua Zhou, Teng Zhang, Zhi-Hua Zhou, 2018, AAAI.

Cost-Sensitive Learning

Zhi-Hua Zhou, Zhi-Hua Zhou, 2011, MDAI.

Introduction: special issue of selected papers of ACML 2012

Zhi-Hua Zhou, Steven C. H. Hoi, Hiroshi Motoda, 2013, Machine Learning.

Labeling Complicated Objects: Multi-View Multi-Instance Multi-Label Learning

Jing Liu, Zhi-Hua Zhou, Cam-Tu Nguyen, 2014, AAAI.

Abductive learning: towards bridging machine learning and logical reasoning

Zhi-Hua Zhou, Zhi-Hua Zhou, Zhi-hua Zhou, 2019, Science China Information Sciences.

Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques

Zhi-Hua Zhou, Xinbo Gao, Xiaofei He, 2015, Lecture Notes in Computer Science.

Ensembles of Multi-Instance Neural Networks

Zhi-Hua Zhou, Min-Ling Zhang, Min-Ling Zhang, 2004, Intelligent Information Processing.

Learnability of Non-I.I.D

Zhi-Hua Zhou, Wei Gao, Xin-Yi Niu, 2016, ACML.

Learning with cost intervals

Zhi-Hua Zhou, Xu-Ying Liu, 2010, KDD '10.

POSTER: A PU Learning based System for Potential Malicious URL Detection

Jun Zhou, Zhi-Hua Zhou, Xiaolong Li, 2017, CCS.

Multi-instance multi-label learning

Zhi-Hua Zhou, Min-Ling Zhang, Sheng-Jun Huang, 2008, Artif. Intell..

Learning Unified Features from Natural and Programming Languages for Locating Buggy Source Code

Zhi-Hua Zhou, Ming Li, Xuan Huo, 2016, IJCAI.

Variable solution structure can be helpful in evolutionary optimization

Yang Yu, Zhi-Hua Zhou, Chao Qian, 2015, Science China Information Sciences.

Fast Power Allocation Algorithm for Cognitive Radio Networks

Zhi-Hua Zhou, Shaowei Wang, Fangjiang Huang, 2011, IEEE Communications Letters.

Using neural networks for fault diagnosis

Zhi-Hua Zhou, Shifu Chen, Jia-Zhou He, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Improved Dynamic Regret for Non-degenerate Functions

Jinfeng Yi, Zhi-Hua Zhou, Tianbao Yang, 2016, NIPS.

Exploiting remote learners in Internet environment with agents

Zhi-Hua Zhou, Ming Li, Wei Wang, 2010, Science in China Series F: Information Sciences.

Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection

Zhi-Hua Zhou, Yu-Feng Li, Zhi-Hua Zhou, 2010, AAAI.

Learnability of multi-instance multi-label learning

Zhi-Hua Zhou, Wei Wang, Zhi-Hua Zhou, 2012 .

Clusterer ensemble

Wei Tang, Zhi-Hua Zhou, Zhi-Hua Zhou, 2006, Knowl. Based Syst..

Meta-game Equilibrium for Multi-agent Reinforcement Learning

Yang Gao, Zhi-Hua Zhou, Joshua Zhexue Huang, 2004, Australian Conference on Artificial Intelligence.

Social Learning

Wenji Mao, Qiang Yang, Zhi-Hua Zhou, 2010, IEEE Intell. Syst..

FANNC: A Fast Adaptive Neural Network Classifier

Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen, 2000, Knowledge and Information Systems.

Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the O(1/T) Convergence Rate pdf

Lijun Zhang, Zhi-Hua Zhou, Zhi-Hua Zhou, 2019, COLT.

Pareto Ensemble Pruning

Yang Yu, Zhi-Hua Zhou, Chao Qian, 2015, AAAI.

On multi-view active learning and the combination with semi-supervised learning

Zhi-Hua Zhou, Wei Wang, Zhi-Hua Zhou, 2008, ICML '08.

Deep Descriptor Transforming for Image Co-Localization

Yao Li, Xiu-Shen Wei, Jianxin Wu, 2017, IJCAI.

A Lower Bound Analysis of Population-Based Evolutionary Algorithms for Pseudo-Boolean Functions pdf

Yang Yu, Zhi-Hua Zhou, Chao Qian, 2016, IDEAL.

Guest Editorial to the Special Issue on Advances of Artificial Intelligence and Knowledge Engineering in China

Zhi-Hua Zhou, Ruqian Lu, Zhi-Hua Zhou, 2007, Computer/law journal.

Large margin distribution machine

Zhi-Hua Zhou, Teng Zhang, Zhi-Hua Zhou, 2013, KDD.

On the Consistency of AUC Pairwise Optimization

Zhi-Hua Zhou, Wei Gao, Zhi-Hua Zhou, 2012, IJCAI.

Multi-Label Learning from Crowds

Shao-Yuan Li, Nitesh V. Chawla, Zhi-Hua Zhou, 2019, IEEE Transactions on Knowledge and Data Engineering.

Cost-Effective Active Learning from Diverse Labelers

Zhi-Hua Zhou, Sheng-Jun Huang, Xin Mu, 2017, IJCAI.

2D Feature Selection by Sparse Matrix Regression

Feiping Nie, Chenping Hou, Yuanyuan Jiao, 2017, IEEE Transactions on Image Processing.

Cost-Saving Effect of Crowdsourcing Learning

Lu Wang, Zhi-Hua Zhou, Zhi-Hua Zhou, 2016, IJCAI.

Enhanced (PC)2 A for face recognition with one training image per person

Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen, 2004, Pattern Recognit. Lett..

Sample-based software defect prediction with active and semi-supervised learning

Zhi-Hua Zhou, Rongxin Wu, Ming Li, 2012, Automated Software Engineering.

FANRE: A Fast Adaptive Neural Regression Estimator

Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen, 1999, Australian Joint Conference on Artificial Intelligence.

Subset Selection: k-Submodular Maximization

Zhi-Hua Zhou, Yang Yu, Chao Qian, 2019 .

On Detecting Clustered Anomalies Using SCiForest

Zhi-Hua Zhou, Kai Ming Ting, Fei Tony Liu, 2010, ECML/PKDD.

Exploratory Under-Sampling for Class-Imbalance Learning

Zhi-Hua Zhou, Xu-Ying Liu, Jianxin Wu, 2006, ICDM.

On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments

Xin Yao, Yang Yu, Zhi-Hua Zhou, 2014, Evolutionary Computation.

Multi-Instance Learning Based Web Mining

Zhi-Hua Zhou, Ming Li, Kai Jiang, 2005, Applied Intelligence.

Rank Consistency based Multi-View Learning: A Privacy-Preserving Approach

Zhi-Hua Zhou, Yuan Jiang, De-Chuan Zhan, 2015, CIKM.

Deep MIML Network

Ji Feng, Zhi-Hua Zhou, Zhi-Hua Zhou, 2017, AAAI.

Multi-Instance Learning from Supervised View

Zhi-Hua Zhou, Zhi-Hua Zhou, 2006, Journal of Computer Science and Technology.

Inductive Logic Boosting pdf

Zhi-Hua Zhou, Wang-Zhou Dai, Zhi-Hua Zhou, 2014, ArXiv.

Learning with Interpretable Structure from RNN pdf

Zhi-Hua Zhou, Bo-Jian Hou, Zhi-Hua Zhou, 2018, ArXiv.

Multi-Instance Learning with Distribution Change

Zhi-Hua Zhou, Weijia Zhang, 2014, AAAI.

Optimizing Ratio of Monotone Set Functions

Yang Yu, Zhi-Hua Zhou, Chao Qian, 2017, IJCAI.

Graph Quality Judgement: A Large Margin Expedition

Zhi-Hua Zhou, Yu-Feng Li, Shao-Bo Wang, 2016, IJCAI.

Preference Based Adaptation for Learning Objectives

Zhi-Hua Zhou, Yao-Xiang Ding, Zhi-Hua Zhou, 2018, NeurIPS.

Special issue on the Sino-foreign-interchange workshop on intelligence science and intelligent data engineering

Zhi-Hua Zhou, Changshui Zhang, Yanning Zhang, 2014, Neurocomputing.

Multi-Label Learning with Emerging New Labels

Zhi-Hua Zhou, Kai Ming Ting, Yue Zhu, 2018, IEEE Transactions on Knowledge and Data Engineering.

A Unified View of Multi-Label Performance Measures

Zhi-Hua Zhou, Xi-Zhu Wu, Zhi-Hua Zhou, 2016, ICML.

Advances in machine learning : First Asian Conference on Machine Learning, ACML 2009, Nanjing, China, November 2-4, 2009 ; proceedings

Zhi-Hua Zhou, Takashi Washio, 2009 .

Improve Prediction with Remote Learners in Internet Environment

Zhi-Hua Zhou, Ming Li, Honghua Dai, 2005 .

Fuzzy-Kernel Learning Vector Quantization

Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen, 2004, ISNN.

Strongly Adaptive Regret Implies Optimally Dynamic Regret pdf

Rong Jin, Zhi-Hua Zhou, Tianbao Yang, 2017, ArXiv.

Efficiently Learning Nonlinear Classifiers for Domain Specific Performance Measures pdf

Ivor W. Tsang, Zhi-Hua Zhou, Nan Li, 2010, ArXiv.

Towards Safe Semi-Supervised Learning for Multivariate Performance Measures

Zhi-Hua Zhou, James T. Kwok, Yu-Feng Li, 2016, AAAI.

A unified SWSI-KAMs framework and performance evaluation on face recognition

Zhi-Hua Zhou, Songcan Chen, Lei Chen, 2005, Neurocomputing.

A framework for modeling positive class expansion with single snapshot

Yang Yu, Zhi-Hua Zhou, Yang Yu, 2010, Knowledge and Information Systems.

Facial Age Estimation by Learning from Label Distributions

Zhi-Hua Zhou, Kate Smith-Miles, Xin Geng, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Modeling of Geographic Dependencies for Real Estate Ranking on Site Selection

Hui Xiong, Zhi-Hua Zhou, Yanjie Fu, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

Ieee Transactions on Knowledge and Data Engineering 1 Training Cost-sensitive Neural Networks with Methods Addressing the Class Imbalance Problem

Zhi-Hua Zhou, Xu-Ying Liu, Zhi-Hua Zhou, 2022 .

Dependency Bagging

Zhi-Hua Zhou, Yuan Jiang, Gang Li, 2005, RSFDGrC.

Learnware: on the future of machine learning

Zhi-Hua Zhou, Zhi-Hua Zhou, 2016, Frontiers of Computer Science.

Artificial intelligence in medicine in China

Zhi-Hua Zhou, Ruqian Lu, Zhi-Hua Zhou, 2004, Artif. Intell. Medicine.

Advances in Knowledge Discovery and Data Mining

Zhi-Hua Zhou, Ee-Peng Lim, Tru H. Cao, 2015, Lecture Notes in Computer Science.

Automatic Age Estimation Based on Facial Aging Patterns

Zhi-Hua Zhou, Kate Smith-Miles, Xin Geng, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A novel bag generator for image database retrieval with multi-instance learning techniques

Zhi-Hua Zhou, Ke-Jia Chen, Min-Ling Zhang, 2003, Proceedings. 15th IEEE International Conference on Tools with Artificial Intelligence.

Switch Analysis for Running Time Analysis of Evolutionary Algorithms

Yang Yu, Zhi-Hua Zhou, Chao Qian, 2015, IEEE Transactions on Evolutionary Computation.

An analysis on recombination in multi-objective evolutionary optimization

Yang Yu, Zhi-Hua Zhou, Chao Qian, 2011, GECCO '11.

ArchRanker: A ranking approach to design space exploration

Tianshi Chen, Zhiwei Xu, Zhi-Hua Zhou, 2014, 2014 ACM/IEEE 41st International Symposium on Computer Architecture (ISCA).

Analysis of Nuclear Norm Regularization for Full-rank Matrix Completion pdf

Rong Jin, Zhi-Hua Zhou, Tianbao Yang, 2015, ArXiv.

(2D)2PCA: Two-directional two-dimensional PCA for efficient face representation and recognition

Daoqiang Zhang, Zhi-Hua Zhou, Daoqiang Zhang, 2005, Neurocomputing.

Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder

Zhi-Hua Zhou, Ji Feng, Qi-Zhi Cai, 2019, NeurIPS.

Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence

Zhi-Hua Zhou, Tu-Bao Ho, Zhi-Hua Zhou, 2008 .

Risk Minimization in the Presence of Label Noise

Lu Wang, Zhi-Hua Zhou, Wei Gao, 2016, AAAI.

Learning to Generate Posters of Scientific Papers pdf

Zhi-Hua Zhou, Yanwei Fu, Leonid Sigal, 2016, AAAI.

Resource Allocation for Heterogeneous Cognitive Radio Networks with Imperfect Spectrum Sensing

Zhi-Hua Zhou, Mengyao Ge, Chonggang Wang, 2013, IEEE Journal on Selected Areas in Communications.

Exploratory Under-Sampling for Class-Imbalance Learning

Zhi-Hua Zhou, Xu-Ying Liu, Jianxin Wu, 2006, Sixth International Conference on Data Mining (ICDM'06).

Crowdsourcing with unsure option

Zhi-Hua Zhou, Yao-Xiang Ding, Zhi-Hua Zhou, 2016, Machine Learning.

Big data and machine learning techniques

Zhi-Hua Zhou, Zhi-Yong Liu, Xinbo Gao, 2015 .

User Identity Linkage by Latent User Space Modelling

Jing Xiao, Zhi-Hua Zhou, Ee-Peng Lim, 2016, KDD.

Special edition on semi-supervised learning for visual content analysis and understanding

Zhi-Hua Zhou, Edwin R. Hancock, Jian Cheng, 2011, Pattern Recognit..

Collisions are helpful for computing unique input-output sequences

Yang Yu, Zhi-Hua Zhou, Chao Qian, 2011, GECCO '11.

Partially Shared Latent Factor Learning With Multiview Data

Jing Liu, Hanqing Lu, Zhi-Hua Zhou, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Predicting Future Customers via Ensembling Gradually Expanded Trees

Yang Yu, Zhi-Hua Zhou, Ming Li, 2007, Int. J. Data Warehous. Min..

On the usefulness of infeasible solutions in evolutionary search: A theoretical study

Yang Yu, Zhi-Hua Zhou, Yang Yu, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering

Hui Xiong, Zhi-Hua Zhou, Yanjie Fu, 2014, KDD.

Semi-Supervised Regression with Co-Training

Zhi-Hua Zhou, Ming Li, Zhi-Hua Zhou, 2005, IJCAI.

Diversity Regularized Ensemble Pruning

Yang Yu, Zhi-Hua Zhou, Nan Li, 2012, ECML/PKDD.

Ensemble multi-instance multi-label learning approach for video annotation task

Zhi-Hua Zhou, Xiangyang Xue, Xin-Shun Xu, 2011, ACM Multimedia.

Multi-View Active Learning in the Non-Realizable Case

Zhi-Hua Zhou, Wei Wang, Zhi-Hua Zhou, 2010, NIPS.

Optimal Margin Distribution Network pdf

Zhi-Hua Zhou, Lu Wang, Shen-Huan Lv, 2018, ArXiv.

Semi-Supervised Dimensionality Reduction ∗

Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen, 2007 .

Adapt Bagging to Nearest Neighbor Classifiers

Yang Yu, Zhi-Hua Zhou, Yang Yu, 2005, Journal of Computer Science and Technology.

On the Consistency of Exact and Approximate Nearest Neighbor with Noisy Data pdf

Zhi-Hua Zhou, Wei Gao, Xin-Yi Niu, 2016, ArXiv.

CUR Algorithm for Partially Observed Matrices pdf

Miao Xu, Rong Jin, Zhi-Hua Zhou, 2014, ICML.

A Convex Method for Locating Regions of Interest with Multi-instance Learning

Ivor W. Tsang, Zhi-Hua Zhou, James T. Kwok, 2009, ECML/PKDD.

Classification Under Streaming Emerging New Classes: A Solution Using Completely-Random Trees

Zhi-Hua Zhou, Kai Ming Ting, Xin Mu, 2016, IEEE Transactions on Knowledge and Data Engineering.

Learning with unlabeled data and its application to image retrieval

Zhi-Hua Zhou, 2006 .

Multi-View Video Summarization

Zhi-Hua Zhou, Feng Liu, Yanwei Fu, 2010, IEEE Transactions on Multimedia.

Ensembling MML Causal Discovery

Zhi-Hua Zhou, Gang Li, Honghua Dai, 2004, PAKDD.

A simple homotopy proximal mapping algorithm for compressive sensing

Rong Jin, Zhi-Hua Zhou, Tianbao Yang, 2014, Machine Learning.

Incomplete Label Distribution Learning

Miao Xu, Zhi-Hua Zhou, Zhi-Hua Zhou, 2017, IJCAI.

Learning instance specific distances using metric propagation

Zhi-Hua Zhou, Ming Li, De-Chuan Zhan, 2009, ICML '09.

Statistical Unfolded Logic Learning

Zhi-Hua Zhou, Wang-Zhou Dai, 2015, ACML.

Virtual Creatures Controlled by Developmental and Evolutionary CPM Neural Networks

Zhi-Hua Zhou, Xue-Hua Shen, Zhi-Hua Zhou, 2003, Intell. Autom. Soft Comput..

Towards Cost-Sensitive Learning for Real-World Applications

Zhi-Hua Zhou, Xu-Ying Liu, Zhi-Hua Zhou, 2011, PAKDD Workshops.

Revised Selected Papers, Part II, of the 5th International Conference on Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques - Volume 9243

Zhi-Hua Zhou, Zhi-Yong Liu, Xinbo Gao, 2015 .

On the development of a robust element for second-order `non-linear integrated design and analysis (nida)'

Zhi-Hua Zhou, Siu-Lai Chan, Siu-Lai Chan, 1998 .

Introduction: special issue of selected papers from ACML 2014

Zhi-Hua Zhou, Hang Li, Tu Bao Ho, 2016, Machine Learning.

Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble

Zhi-Hua Zhou, Yuan Jiang, Zhi-Hua Zhou, 2003, IEEE Transactions on Information Technology in Biomedicine.

ALMA: a new approach to data initial association

Zhi-Hua Zhou, Jia-Zhou He, Shi-Fu Chen, 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

Least Square Incremental Linear Discriminant Analysis

Zhi-Hua Zhou, Yuan Jiang, Li-Ping Liu, 2009, 2009 Ninth IEEE International Conference on Data Mining.

Automated annotation of developmental stages of Drosophila embryos in images containing spatial patterns of expression

Cheng Pan, Jieping Ye, Zhi-Hua Zhou, 2013, Bioinform..

Ensemble approach based on conditional random field for multi-label image and video annotation

Zhi-Hua Zhou, Yuan Jiang, Xiangyang Xue, 2011, ACM Multimedia.

On the doubt about margin explanation of boosting

Zhi-Hua Zhou, Wei Gao, Zhi-Hua Zhou, 2010, Artif. Intell..

Improving Deep Forest by Confidence Screening

Zhi-Hua Zhou, Peng Zhao, Ming Pang, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Learning from facial aging patterns for automatic age estimation

Yu Zhang, Zhi-Hua Zhou, Xin Geng, 2006, MM '06.

AutoEncoder by Forest

Ji Feng, Zhi-Hua Zhou, Zhi-Hua Zhou, 2017, AAAI.

Prediction With Unpredictable Feature Evolution pdf

Lijun Zhang, Zhi-Hua Zhou, Bo-Jian Hou, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Proceedings of the 14th Pacific-Rim Conference on Advances in Multimedia Information Processing PCM 2013 - Volume 8294

Chong-Wah Ngo, Zhi-Hua Zhou, Benoit Huet, 2013, MMEDIA 2013.

Semisupervised Regression with Cotraining-Style Algorithms

Zhi-Hua Zhou, Ming Li, Zhi-Hua Zhou, 2007, IEEE Transactions on Knowledge and Data Engineering.

Genetic Algorithm based Selective Neural Network Ensemble

Jianxin Wu, Zhi-Hua Zhou, Yuan Jiang, 2001, IJCAI.

Sparse Learning for Large-Scale and High-Dimensional Data: A Randomized Convex-Concave Optimization Approach

Rong Jin, Zhi-Hua Zhou, Tianbao Yang, 2015, ALT.

Rectify Heterogeneous Models with Semantic Mapping

Zhi-Hua Zhou, Yuan Jiang, De-Chuan Zhan, 2018, ICML.

\ell_1-regression with Heavy-tailed Distributions

Lijun Zhang, Zhi-Hua Zhou, Zhi-Hua Zhou, 2018, NeurIPS.

Reinforcement Learning Experience Reuse with Policy Residual Representation pdf

Zhi-Hua Zhou, Yingfeng Chen, Yang Yu, 2019, IJCAI.

Lifted-Rollout for Approximate Policy Iteration of Markov Decision Process

Yang Yu, Zhi-Hua Zhou, Wang-Zhou Dai, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human Knowledge

Zhi-Hua Zhou, Wang-Zhou Dai, Zhi-Hua Zhou, 2017, AAAI.

Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition

Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen, 2005, AMFG.

Learning with Augmented Multi-Instance View

Jianxin Wu, Zhi-Hua Zhou, Yuan Jiang, 2014, ACML.

Face recognition with one training image per person

Jianxin Wu, Zhi-Hua Zhou, Zhi-Hua Zhou, 2002, Pattern Recognit. Lett..

Introduction to the special issue on learning from multi-label data

Grigorios Tsoumakas, Zhi-Hua Zhou, Min-Ling Zhang, 2012, Machine Learning.

On Constrained Boolean Pareto Optimization

Yang Yu, Zhi-Hua Zhou, Chao Qian, 2015, IJCAI.

Online Bandit Learning for a Special Class of Non-Convex Losses

Rong Jin, Zhi-Hua Zhou, Tianbao Yang, 2015, AAAI.

PRICAI 2008: Trends in Artificial Intelligence, 10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, December 15-19, 2008. Proceedings

Zhi-Hua Zhou, Tu Bao Ho, 2008, PRICAI.

Editorial: special issue on selected papers of PAKDD 2007

Qiang Yang, Zhi-Hua Zhou, Hang Li, 2008, Knowledge and Information Systems.

Column Sampling Based Discrete Supervised Hashing

Zhi-Hua Zhou, Wu-Jun Li, Wang-Cheng Kang, 2016, AAAI.

Face Image Modeling by Multilinear Subspace Analysis With Missing Values

Zhi-Hua Zhou, Kate Smith-Miles, Xin Geng, 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Discover Multiple Novel Labels in Multi-Instance Multi-Label Learning

Zhi-Hua Zhou, Kai Ming Ting, Yue Zhu, 2017, AAAI.

Isolation Forest

Zhi-Hua Zhou, Kai Ming Ting, Fei Tony Liu, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Facial Age Estimation by Total Ordering Preserving Projection

Zhi-Hua Zhou, Xiao-Dong Wang, 2016, PRICAI.

Towards One Reusable Model for Various Software Defect Mining Tasks

Zhi-Hua Zhou, Heng-Yi Li, Ming Li, 2019, PAKDD.

Exploiting Label Relationship in Multi-Label Learning

Zhi-Hua Zhou, 2013, UDM@IJCAI.

Constraint Projections for Ensemble Learning

Daoqiang Zhang, Qiang Yang, Zhi-Hua Zhou, 2008, AAAI.

Introduction: special issue of selected papers from ACML 2015

Tie-Yan Liu, Zhi-Hua Zhou, Masashi Sugiyama, 2017, Machine Learning.

Inaccurate Fitness Evaluation

Zhi-Hua Zhou, Yang Yu, Chao Qian, 2019 .

Projection Incorporated Subspace Method for Face Recognition

Zhi-Hua Zhou, Zhao-Qian Chen, Jianxin Wu, 2001 .

Matrix Co-completion for Multi-label Classification with Missing Features and Labels pdf

Ivor W. Tsang, Gang Niu, Miao Xu, 2018, ArXiv.

Multi-label Learning

Zhi-Hua Zhou, Min-Ling Zhang, Min-Ling Zhang, 2017, Encyclopedia of Machine Learning and Data Mining.

A new approach to estimating the expected first hitting time of evolutionary algorithms

Yang Yu, Zhi-Hua Zhou, Yang Yu, 2006, Artif. Intell..

A spectral approach to detecting subtle anomalies in graphs

Zhi-Hua Zhou, Leting Wu, Xintao Wu, 2013, Journal of Intelligent Information Systems.

Neighbor Line-Based Locally Linear Embedding

Zhi-Hua Zhou, De-Chuan Zhan, 2006, PAKDD.

Comprehensibility of Data Mining Algorithms

Zhi-Hua Zhou, 2005 .

Tri-training: exploiting unlabeled data using three classifiers

Zhi-Hua Zhou, Ming Li, Zhi-Hua Zhou, 2005, IEEE Transactions on Knowledge and Data Engineering.

Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion

Jun Li, Zhi-Hua Zhou, Xiaoyang Tan, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Shaping Reward Learning Approach from Passive Samples: Shaping Reward Learning Approach from Passive Samples

Zhi-Hua Zhou, Yang Yu, Yu Qian, 2014 .

Ensembling neural networks: Many could be better than all

Wei Tang, Jianxin Wu, Zhi-Hua Zhou, 2002, Artif. Intell..

Ensemble-Based Discriminant Manifold Learning for Face Recognition

Zhi-Hua Zhou, Li He, Junping Zhang, 2006, ICNC.

Evolutionary Learning: Advances in Theories and Algorithms

Yang Yu, Zhi-Hua Zhou, Chao Qian, 2019 .

A Simple Homotopy Algorithm for Compressive Sensing

Rong Jin, Zhi-Hua Zhou, Tianbao Yang, 2015, AISTATS.

Uncontrolled Face Recognition by Individual Stable Neural Network

Zhi-Hua Zhou, Xin Geng, Honghua Dai, 2006, PRICAI.

Logical Vision: Meta-Interpretive Learning for Simple Geometrical Concepts

Zhi-Hua Zhou, Stephen Muggleton, Wang-Zhou Dai, 2015, ILP.

Running Time Analysis: Convergence-based Analysis

Zhi-Hua Zhou, Yang Yu, Chao Qian, 2019 .

CoTrade: Confident Co-Training With Data Editing

Zhi-Hua Zhou, Min-Ling Zhang, Min-Ling Zhang, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Multi-Label Learning with Weak Label

Zhi-Hua Zhou, Yin Zhang, Yu-Yin Sun, 2010, AAAI.

Effective and efficient microprocessor design space exploration using unlabeled design configurations

Tianshi Chen, Zhiwei Xu, Zhi-Hua Zhou, 2011, IJCAI.

On the Robustness of Nearest Neighbor with Noisy Data

Zhi-Hua Zhou, Wei Gao, Bin-Bin Yang, 2016 .

On Algorithm-Dependent Boundary Case Identification for Problem Classes

Yang Yu, Zhi-Hua Zhou, Chao Qian, 2012, PPSN.

A statistics based approach for extracting priority rules from trained neural networks

Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Adaptive Online Learning in Dynamic Environments

Lijun Zhang, Zhi-Hua Zhou, Shiyin Lu, 2018, NeurIPS.

Multi-Label Learning with Emerging New Labels

Zhi-Hua Zhou, Kai Ming Ting, Yue Zhu, 2018, IEEE Transactions on Knowledge and Data Engineering.

Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining

Zhi-Hua Zhou, Xiaohua Hu, Mário M. Freire, 2007 .

Enhanced Pictorial Structures for precise eye localization under incontrolled conditions

Zhi-Hua Zhou, Xiaoyang Tan, Songcan Chen, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Book review: Artificial Neural Networks in Biomedicine

Zhi-Hua Zhou, Zhi-Hua Zhou, 2002 .

Learning to Generate Posters of Scientific Papers by Probabilistic Graphical Models

Zhi-Hua Zhou, Xiao Yu, Yanwei Fu, 2017, Journal of Computer Science and Technology.

Machine learning for 5G and beyond: From model-based to data-driven mobile wireless networks

Zhi-Hua Zhou, Tianyu Wang, Shaowei Wang, 2019, China Communications.

Locating Regions of Interest in CBIR with Multi-instance Learning Techniques

Zhi-Hua Zhou, Yuan Jiang, Xiao-Bing Xue, 2005, Australian Conference on Artificial Intelligence.

Spectral Analysis of k-Balanced Signed Graphs

Zhi-Hua Zhou, Leting Wu, Xiaowei Ying, 2011, PAKDD.

Cost-Sensitive Semi-Supervised Support Vector Machine

Zhi-Hua Zhou, James T. Kwok, Yu-Feng Li, 2010, AAAI.

Exploitation of label relationship in multi-label learning

Zhi-Hua Zhou, 2012, 2012 IEEE International Conference on Granular Computing.

Lung cancer cell identification based on artificial neural network ensembles

Yu-Bin Yang, Zhi-Hua Zhou, Yuan Jiang, 2002, Artif. Intell. Medicine.

Subset Selection: Ratio Minimization

Zhi-Hua Zhou, Yang Yu, Chao Qian, 2019 .

Sequence-Based Prediction of microRNA-Binding Residues in Proteins Using Cost-Sensitive Laplacian Support Vector Machines

Zhi-Hua Zhou, Jian-Sheng Wu, Zhi-Hua Zhou, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A conversation with Professor Zhi-Hua Zhou

Zhi-Hua Zhou, 2012, SKDD.

Multi-View Matrix Completion for Clustering with Side Information

Zhi-Hua Zhou, Peng Zhao, Yuan Jiang, 2017, PAKDD.

Improve Multi-Instance Neural Networks through Feature Selection

Zhi-Hua Zhou, Min-Ling Zhang, Min-Ling Zhang, 2004, Neural Processing Letters.

Towards Discovering What Patterns Trigger What Labels

Zhi-Hua Zhou, Yuan Jiang, Yu-Feng Li, 2012, AAAI.

Entropy-Inspired Competitive Clustering Algorithms

Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen, 2007, Int. J. Softw. Informatics.

Multi-Instance Multi-Label Learning with Weak Label

Zhi-Hua Zhou, Yuan Jiang, Shu-Jun Yang, 2013, IJCAI.

Self-Practice Imitation Learning from Weak Policy

Yang Yu, Zhi-Hua Zhou, Qing Da, 2013, PSL.

Ensemble Methods for Class Imbalance Learning

Zhi-Hua Zhou, Xu-Ying Liu, Zhi-Hua Zhou, 2013 .

Distributional features for text categorization

Zhi-Hua Zhou, Xiao-Bing Xue, Zhi-Hua Zhou, 2006 .

Diversity Regularized Machine

Yang Yu, Zhi-Hua Zhou, Yu-Feng Li, 2011, IJCAI.

Improving Web search using image snippets

Zhi-Hua Zhou, Zhongfei Zhang, Xiao-Bing Xue, 2008, TOIT.

What Makes Objects Similar: A Unified Multi-Metric Learning Approach

Zhi-Hua Zhou, De-Chuan Zhan, Han-Jia Ye, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Face Recognition Under Occlusions and Variant Expressions With Partial Similarity

Zhi-Hua Zhou, Xiaoyang Tan, Jun Liu, 2009, IEEE Transactions on Information Forensics and Security.

Adaptive Regret of Convex and Smooth Functions

Lijun Zhang, Tie-Yan Liu, Zhi-Hua Zhou, 2019, ICML.

Understanding bag-of-words model: a statistical framework

Rong Jin, Zhi-Hua Zhou, Yin Zhang, 2010, Int. J. Mach. Learn. Cybern..

Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search

Zhi-Hua Zhou, Yang Yu, Yi-Qi Hu, 2018, IJCAI.

Learning With Feature Evolvable Streams

Zhi-Hua Zhou, Lijun Zhang, Bo-Jian Hou, 2017, IEEE Transactions on Knowledge and Data Engineering.

Partial Multi-View Clustering

Shao-Yuan Li, Zhi-Hua Zhou, Yuan Jiang, 2014, AAAI.

Dynamic Regret of Strongly Adaptive Methods

Rong Jin, Zhi-Hua Zhou, Tianbao Yang, 2017, ICML.

Exploiting unlabeled data to enhance ensemble diversity

Zhi-Hua Zhou, Min-Ling Zhang, Min-Ling Zhang, 2009, 2010 IEEE International Conference on Data Mining.

Towards Analyzing Recombination Operators in Evolutionary Search

Yang Yu, Zhi-Hua Zhou, Chao Qian, 2010, PPSN.

Ensemble Methods: Foundations and Algorithms

Zhi-Hua Zhou, Zhi-Hua Zhou, 2012 .

Anomaly Detection with Partially Observed Anomalies

Jun Zhou, Zhi-Hua Zhou, Xiaolong Li, 2018, WWW.

M3MIML: A Maximum Margin Method for Multi-instance Multi-label Learning

Zhi-Hua Zhou, Min-Ling Zhang, Min-Ling Zhang, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing

Shao-Yuan Li, Zhi-Hua Zhou, Yuan Jiang, 2017, IJCAI.

Subset Selection: Acceleration

Zhi-Hua Zhou, Yang Yu, Chao Qian, 2019 .

Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization pdf

Zhi-Hua Zhou, Lijun Zhang, Peng Zhao, 2021, ArXiv.

Flexible Transmitter Network

Zhi-Hua Zhou, Shao-Qun Zhang, Zhi-Hua Zhou, 2020, Neural Computation.

Reconstruction-based Anomaly Detection with Completely Random Forest

Zhi-Hua Zhou, Yuan Jiang, Kai Ming Ting, 2021, SDM.

Non-stationary Online Learning with Memory and Non-stochastic Control pdf

Zhi-Hua Zhou, Peng Zhao, Yu-Xiang Wang, 2021, AISTATS.

Storage Fit Learning with Feature Evolvable Streams

Zhi-Hua Zhou, Peng Zhao, Bo-Jian Hou, 2020, AAAI.

LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values

Zhi-Hua Zhou, Yuan Jiang, Shao-Qun Zhang, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

On the noise estimation statistics

Zhi-Hua Zhou, Wei Gao, Teng Zhang, 2021, Artif. Intell..

Learning from Incomplete and Inaccurate Supervision

Zhi-Hua Zhou, Yuan Jiang, Peng Zhao, 2021 .

ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptions pdf

Zhi-Hua Zhou, Shao-Qun Zhang, Zhi-Hua Zhou, 2021, ArXiv.

Margin Distribution Analysis.

Jun Wang, Zhi-Hua Zhou, 2021, IEEE transactions on neural networks and learning systems.

Towards Understanding Theoretical Advantages of Complex-Reaction Networks pdf

Zhi-Hua Zhou, Shao-Qun Zhang, Gao Wei, 2021, Neural Networks.

Towards Enabling Learnware to Handle Unseen Jobs

Zhi-Hua Zhou, Peng Zhao, Yu-Hu Yan, 2021, AAAI.

Towards Theoretical Understanding of Flexible Transmitter Networks via Approximation and Local Minima pdf

Zhi-Hua Zhou, Yuan Jiang, Shao-Qun Zhang, 2021, ArXiv.

Seeing Differently, Acting Similarly: Imitation Learning with Heterogeneous Observations pdf

Zhi-Hua Zhou, Yuan Jiang, Masashi Sugiyama, 2021, ArXiv.

Towards an Understanding of Benign Overfitting in Neural Networks pdf

Zhi-Hua Zhou, Arthur Gretton, Zhu Li, 2021, ArXiv.

Proceedings of the 2013 SIAM International Conference on Data Mining

Srinivasan Parthasarathy, Zhi-Hua Zhou, Zoran Obradovic, 2013 .

Boosting and margin theory

Zhi-Hua Zhou, Masashi Sugiyama, Jufu Feng, 2012 .

Predicting miRNA Targets by Integrating Gene Regulatory Knowledge with Expression Profiles

Zhi-Hua Zhou, Jiuyong Li, Thuc Duy Le, 2016, PloS one.

Solving the Multi-Instance Problem with Neural Networks

Zhi-Hua Zhou, Min-Ling Zhang, Min-Ling Zhang, 2003 .

MiRmat: Mature microRNA Sequence Prediction

Zhi-Hua Zhou, Ying-Xin Li, Zhi John Lu, 2012, PloS one.

Proofs of the Theorems

Zhi-Hua Zhou, Wei Wang, Zhi-Hua Zhou, 2010 .

Transactions on Systems , Man , and Cybernetics – Part B : Cybernetics 2 when

Zhi-Hua Zhou, Xin Geng, De-Chuan Zhan, 2022 .

Partial Multi-View Clustering

Shao-Yuan Li, Zhi-Hua Zhou, Yuan Jiang, 2014, AAAI.

Partially Supervised Learning: Second IAPR International Workshop, PSL 2013, Nanjing, China, May 13-14, 2013, Revised Selected Papers

Friedhelm Schwenker, Zhi-Hua Zhou, 2013 .

On the Resistance of Nearest Neighbor to Random Noisy Labels

Zhi-Hua Zhou, Wei Gao, Bin-Bin Yang, 2016 .